中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): Classification of Genetically Identical Left and Right Irises Using a Convolutional Neural Network
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Classification of Genetically Identical Left and Right Irises Using a Convolutional Neural Network
Beihua Fang; Yuanfu Lu; Zhisheng Zhou; Zhihui Li; Yuwen Yan; Linfeng Yang; Guohua Jiao; Guangyuan Li
2019
Source PublicationELECTRONICS
Subtype期刊论文
AbstractAs one of the most reliable biometric identification techniques, iris recognition has focused on the differences in iris textures without considering the similarities. In this work, we investigate the correlation between the left and right irises of an individual using a VGG16 convolutional neural network. Experimental results with two independent iris datasets show that a remarkably high classification accuracy of larger than 94% can be achieved when identifying if two irises (left and right) are from the same or different individuals. This exciting finding suggests that the similarities between genetically identical irises that are indistinguishable using traditional Daugman's approaches can be detected by deep learning. We expect this work will shed light on further studies on the correlation between irises and/or other biometric identifiers of genetically identical or related individuals, which would find potential applications in criminal investigations.
Indexed BySCI
Language英语
EI Accession Number光电工程
Document Type期刊论文
Identifierhttp://ir.siat.ac.cn/handle/172644/15314
Collection集成所
Recommended Citation
GB/T 7714
Beihua Fang,Yuanfu Lu,Zhisheng Zhou,et al. Classification of Genetically Identical Left and Right Irises Using a Convolutional Neural Network[J]. ELECTRONICS,2019.
APA Beihua Fang.,Yuanfu Lu.,Zhisheng Zhou.,Zhihui Li.,Yuwen Yan.,...&Guangyuan Li.(2019).Classification of Genetically Identical Left and Right Irises Using a Convolutional Neural Network.ELECTRONICS.
MLA Beihua Fang,et al."Classification of Genetically Identical Left and Right Irises Using a Convolutional Neural Network".ELECTRONICS (2019).
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